Memilih antara PostgreSQL dan MySQL adalah salah satu keputusan terpenting dalam pengembangan backend.
Ikhtisar Cepat
PostgreSQL memprioritaskan kepatuhan standar, integritas data, dan ekstensibilitas. MySQL memprioritaskan kesederhanaan dan kecepatan untuk workload yang banyak membaca.
Feature PostgreSQL MySQL 8.x
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License PostgreSQL (free) GPL / Commercial
ACID Compliance Full Full (InnoDB)
JSON Support JSONB (excellent) JSON (good)
Full-Text Search Built-in tsvector FULLTEXT index
Replication Streaming + Logical Binary log + GTID
Max DB Size Unlimited 256TB
Partitioning Declarative RANGE/LIST/HASH
Window Functions Full support Partial (8.x+)
Extensions Rich ecosystem Plugins (fewer)
Default in Cloud Supabase, RDS PlanetScale, RDSPerbandingan Fitur
PostgreSQL secara historis memiliki set fitur yang jauh lebih kaya.
-- Feature Comparison: PostgreSQL vs MySQL
-- 1. JSON Support
-- PostgreSQL JSONB (binary, indexed)
SELECT data->>'name' FROM users WHERE data @> '{"active": true}';
CREATE INDEX idx_users_data ON users USING GIN (data);
-- MySQL JSON
SELECT JSON_EXTRACT(data, '$.name') FROM users
WHERE JSON_EXTRACT(data, '$.active') = true;
-- 2. Full-Text Search
-- PostgreSQL (built-in tsvector)
SELECT * FROM articles
WHERE to_tsvector('english', content) @@ to_tsquery('postgresql & performance');
-- MySQL FULLTEXT
SELECT * FROM articles
WHERE MATCH(content) AGAINST ('postgresql performance' IN NATURAL LANGUAGE MODE);
-- 3. CTEs (Common Table Expressions)
-- PostgreSQL supports recursive CTEs natively (since 8.4)
WITH RECURSIVE category_tree AS (
SELECT id, name, parent_id, 0 AS level
FROM categories WHERE parent_id IS NULL
UNION ALL
SELECT c.id, c.name, c.parent_id, ct.level + 1
FROM categories c JOIN category_tree ct ON c.parent_id = ct.id
)
SELECT * FROM category_tree ORDER BY level, name;
-- 4. Window Functions (both support, PostgreSQL more complete)
SELECT
employee_id,
salary,
AVG(salary) OVER (PARTITION BY department_id) as dept_avg,
RANK() OVER (PARTITION BY department_id ORDER BY salary DESC) as rank
FROM employees;Perbandingan Performa
Performa mentah sangat tergantung pada jenis workload.
-- Performance Tuning Examples
-- PostgreSQL: EXPLAIN ANALYZE
EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON)
SELECT u.id, u.name, COUNT(o.id) as order_count
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE u.created_at > '2025-01-01'
GROUP BY u.id, u.name
ORDER BY order_count DESC
LIMIT 100;
-- PostgreSQL-specific indexes
CREATE INDEX CONCURRENTLY idx_orders_user_status
ON orders (user_id, status)
WHERE status != 'cancelled'; -- Partial index
CREATE INDEX idx_products_attrs ON products USING GIN (attributes); -- JSONB index
-- MySQL: EXPLAIN FORMAT=JSON
EXPLAIN FORMAT=JSON
SELECT u.id, u.name, COUNT(o.id) as order_count
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE u.created_at > '2025-01-01'
GROUP BY u.id, u.name
ORDER BY order_count DESC
LIMIT 100;
-- Connection pooling configuration
-- PostgreSQL (PgBouncer or pg pool settings)
max_connections = 100 -- in postgresql.conf
-- Use connection pooler for high concurrency
-- PgBouncer pool_mode = transaction (recommended for web apps)
-- MySQL
max_connections = 200 -- in my.cnf
innodb_buffer_pool_size = 4G -- 70-80% of RAM for dedicated MySQL serverKapan Memilih PostgreSQL
PostgreSQL adalah pilihan yang tepat ketika Anda membutuhkan fitur SQL lanjutan.
- Complex queries — Advanced window functions, CTEs, lateral joins
- JSON/document storage — JSONB with GIN indexes rivals MongoDB
- Geospatial data — PostGIS extension is the gold standard
- Strict data integrity — CHECK constraints, exclusion constraints, custom domains
- High-concurrency writes — MVCC handles concurrent writes better than MySQL
- Full-text search — Built-in, no external service needed
- Analytics/reporting — Better at complex aggregations and window functions
Kapan Memilih MySQL
MySQL tetap menjadi pilihan yang sangat baik untuk banyak kasus penggunaan, terutama aplikasi web yang banyak membaca.
- Simple CRUD applications — WordPress, Drupal, and many CMSes default to MySQL
- Read-heavy workloads — InnoDB is highly optimized for read-heavy patterns
- Existing MySQL ecosystem — If your team has deep MySQL expertise
- PlanetScale — MySQL-compatible serverless database with excellent DX
- Replication simplicity — MySQL replication is well-understood and widely deployed
Migrasi Antar Database
Migrasi dari MySQL ke PostgreSQL memerlukan perencanaan yang cermat.
-- MySQL to PostgreSQL Migration: Common Differences
-- 1. AUTO_INCREMENT -> SERIAL/IDENTITY
-- MySQL
CREATE TABLE users (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(100)
);
-- PostgreSQL
CREATE TABLE users (
id SERIAL PRIMARY KEY, -- or BIGSERIAL for large tables
name VARCHAR(100)
);
-- Modern PostgreSQL (v10+):
-- id INT GENERATED ALWAYS AS IDENTITY PRIMARY KEY
-- 2. String functions differ
-- MySQL: IFNULL
SELECT IFNULL(phone, 'N/A') FROM users;
-- PostgreSQL: COALESCE (also works in MySQL)
SELECT COALESCE(phone, 'N/A') FROM users;
-- 3. String concatenation
-- MySQL
SELECT CONCAT(first_name, ' ', last_name) FROM users;
-- PostgreSQL
SELECT first_name || ' ' || last_name FROM users;
-- Or use CONCAT (PostgreSQL also supports it)
-- 4. LIMIT/OFFSET syntax (both support the same)
SELECT * FROM users ORDER BY id LIMIT 10 OFFSET 20;
-- 5. Boolean values
-- MySQL: TRUE/FALSE or 1/0
-- PostgreSQL: TRUE/FALSE or 't'/'f' or 'true'/'false'
-- 6. Timestamp with timezone
-- MySQL: DATETIME or TIMESTAMP (local time only)
-- PostgreSQL: TIMESTAMPTZ (timezone-aware, recommended)
ALTER TABLE events
ALTER COLUMN created_at TYPE TIMESTAMPTZ
USING created_at AT TIME ZONE 'UTC';Pertanyaan yang Sering Diajukan
Apakah PostgreSQL lebih cepat dari MySQL?
Tergantung pada workload. MySQL sering lebih cepat untuk query baca sederhana. PostgreSQL unggul dalam query analitik kompleks.
Database mana yang direkomendasikan penyedia cloud besar?
Semua penyedia cloud besar menawarkan keduanya. Supabase dibangun di atas PostgreSQL, PlanetScale di atas MySQL.
Apakah PostgreSQL mendukung JSON?
Ya, PostgreSQL memiliki dukungan JSON yang luar biasa dengan tipe JSONB, yang menyimpan JSON dalam format biner dengan dukungan pengindeksan.
Mana yang lebih baik untuk proyek baru di 2026?
Untuk sebagian besar proyek baru di 2026, PostgreSQL adalah pilihan default yang direkomendasikan.